[PDF] Top 20 Emotion Classification in Arabic Poetry using Machine Learning
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Emotion Classification in Arabic Poetry using Machine Learning
... Constructing the feature vector is a crucial part in any machine learning application as it pertains to how each object is represented through its features. The problem is defined as follows: let be a set ... See full document
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Title: Emotion Classification Using Machine Learning and Data Preprocessing Approach on Tulu Speech Data
... do not have the capabilities for determining the emotions in input voice samples. Emotions are influencing the actual meaning of speech signals. Most of the times, the meaning of the sentence will be changed based on the ... See full document
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Emotion Representation in Whole brain Functional Connectivity Patterns: An fMRI Study
... of emotion in human brain is an important question in the cognitive ...the emotion recognition. The present study mainly focused on the emotion decoding based on the functional connectivity ...viewed ... See full document
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Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content
... Abstract: Emotion detection from the text is an important and challenging problem in text ...of emotion detection applications as they have received considerable attention of online community including ... See full document
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Emotion analysis of Arabic tweets using deep learning approach
... for emotion recognition classification in Eng- lish sentences where feelings are treated as summed up ideas extricated from the sen- ...an emotion recognition rule ...in machine ... See full document
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Classification of Emotional States in Parkinson’s Disease Patients using Machine Learning Algorithms
... overall classification accuracies of four features for each emotion using two models were tabulated and shown in the figure (A) and ...the classification accuracy of four features, it can be ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... statistical classification (SVC), as in [24, 25], which employed a K-Nearest Neighbor (k-NN) classification scheme based on a template registration process to extract features from both normal MRI and MS ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... the machine-learning model to bias to that class, while little records make the machine-learning model learn nothing about that ...by using RandomUnderSampler a python algorithm in ... See full document
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Emotion Detection and Sentiment Analysis in Text Corpus: A Differential Study with Informal and Formal Writing Styles
... Sentiment Classification for online customer reviews in Persian ...is using of a wide variety of declensional ...Sentiment Classification of Persian review ...Bayes learning algorithm for ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... an Arabic sentilexicon for generating feature vectors and developed multi- domain Arabic ...by using four different machine learning ...in Arabic hotel ...in Arabic and ... See full document
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Analysis of Rhythmic Phrasing: Feature Engineering vs Representation Learning for Classifying Readout Poetry
... of machine learning algorithms that use manually engineered features or automatically learnt ...by using two important theoretical works: The Generative Theory of Tonal Music and the Rhythmic ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... mining classification techniques; such as expectation maximization (EM), and K-mean clustering, Bayes net, Naïve Bayes, K star, filtered classifier, decision table, J48, and JRIP to find the best result of ... See full document
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Sentiment Analysis of Tweets using SVM
... the machine learning algorithms such as Naive Bayes, Maximum Entropy and SVM when trained with emotion tweets can have accuracy more than ...of classification for high accuracy. [24] Presented ... See full document
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Trend Analysis on Twitter for Predicting Public Opinion on Ongoing Events
... different machine learning algorithms Naïve Bayes, Decision Trees and Support Vector Machine for sentiment classification of Arabic dataset which was obtained from ...for Arabic ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... How to deeply understand the spread of infectious diseases, and then design effective prevention and control strategies is now an urgent task or threat to organizations or public ministries [1, 2]. Despite advances in ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... According to the Korean Internet and Security Agency(KISA), 71.6% of smartphone user use their smartphone over seven hours a week, and smartphone penetration rate of age group twenties and thirties are 99.9%, fourties ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... In this paper, a hybrid optimization model is presented using dynamic programming approach for test sequence optimization. The paper used the fault parameters and dependency as the key criteria for deciding the ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... The implementation of the Citizen Relationship Management by the Provincial Government of DKI Jakarta carried out through the CRM Mobile application has not been changed since it was first launched in 2015. The flow of ... See full document
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Teaching English Using Poetry: An Alternative to Implement Contextual Teaching and Learning
... of learning contextual ...to poetry as a learning medium, before the learning session ends, students are invited to give their impressions after completing the learning ...their ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... Questionnaire are self-reported data collection instruments which are answered at a distance from the researcher. A high quality of a question and questionnaire design gives the researcher high valid and reliable ... See full document
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